Analysis of elevation abnormal fitting program design and implementation based on EIV model

Jinsong Tian; Jinjie Tian; Mengdong Hu

doi:10.1117/12.2627594

11 March 2022 Analysis of elevation abnormal fitting program design and implementation based on EIV model

Jinsong Tian, Jinjie Tian, Mengdong Hu

Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121600C (2022) https://doi.org/10.1117/12.2627594
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China

Abstract

In engineering surveying, it is a common problem for geodetic height to convert to normal height, and the key is to calculate the abnormal value of elevation in a small range. Moreover, there are often errors in the observed value variables. Therefore, relevant mathematical models must be used to estimate parameter. Experimental Purpose: Taking the height abnormality fitting simulation data in engineering survey as an example, an application program is designed and implemented to obtain the optimal unbiased estimation of model parameters. Experimental Methods：With the help of the model parameter estimation theory (EIV model) and total least squares (TLS) with errors in variables, the data processing software is designed on the Visual Studio platform under the C# language environment to solve the cumbersome problem of model formulas in the data calculation process. Experimental results：It is completely feasible to apply the Visual Studio platform design to processing the height abnormality fitting calculation based on the EIV model. The internal coincidence accuracy of the traditional least square method is 5.216 mm, and the external coincidence accuracy is 6.948 mm; The inner coincidence accuracy of the total least square method is 5.216 mm, and the outer coincidence accuracy is 6.948 mm. The calculation results of the program show that the calculation results of the model parameters in the total least squares method are not significantly higher than that of the traditional least squares method under the same precision observation conditions.

Citation Download Citation

Jinsong Tian, Jinjie Tian, and Mengdong Hu "Analysis of elevation abnormal fitting program design and implementation based on EIV model", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121600C (11 March 2022); https://doi.org/10.1117/12.2627594

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KEYWORDS

Data modeling

Mathematical modeling

Data processing

Visual process modeling

Geodesy

Error analysis

Analytical research

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